Statistical Analysis of Deformable Template Models for Medical Image Understanding
نویسندگان
چکیده
منابع مشابه
Statistical deformable model-based segmentation of image motion
We present a statistical method for the motion-based segmentation of deformable structures undergoing nonrigid movements. The proposed approach relies on two models describing the shape of interest, its variability, and its movement. The first model corresponds to a statistical deformable template that constrains the shape and its deformations. The second model is introduced to represent the op...
متن کاملStatistical Model - Based Segmentationof Deformable
We present a statistical method for the motion-based segmentation of deformable structures undergoing non-rigid movements. The proposed approach relies on two models describing the shape of interest, its variability and its movement. The rst model corresponds to a statistical deformable template that constrains the shape and its deformations. The second model is introduced to represent the opti...
متن کاملOn merging hidden Markov models with deformable templates
Hidden Markov modeling has proven extremely useful for statistical analysis of speech signals. There are, however, inherent problems in two dimensional extensions to HMM's, one of which is the exponential complexity associated with fully 2-D HMM's. In this paper, we propose a new 2-D HMM-like structure obtained by embedding states within regions of a deformable template structure. With this sta...
متن کاملA new statistically-constrained deformable registration framework for MR brain images
Statistical models of deformations (SMD) capture the variability of deformations from the template image onto a group of sample images and can be used to constrain the traditional deformable registration algorithms to improve their robustness and accuracy. This paper employs a wavelet-PCA-based SMD to constrain the traditional deformable registration based on the Bayesian framework. The templat...
متن کاملClustering and Shifting of Regional Appearance for Deformable Model Segmentation
Joshua V. Stough: Clustering and Shifting of Regional Appearance for Deformable Model Segmentation (Under the direction of Stephen M. Pizer, Ph.D.) Automated medical image segmentation is a challenging task that benefits from the use of effective image appearance models. An appearance model describes the grey-level intensity information relative to the object being segmented. Previous models th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013